Responsibilities
- Lead and manage a team of consultants to deliver high-quality marketing mix modeling projects.
- Collaborate with clients to understand their business objectives and translate them into actionable analytics solutions.
- Develop and implement advanced statistical models to analyze marketing data and provide strategic recommendations.
- Ensure the accuracy and reliability of data analysis by maintaining high-quality standards and best practices.
- Present findings and insights to clients in a clear and compelling manner, driving data-driven decision-making.
- Stay updated with industry trends and best practices in marketing mix modeling and media analytics.
- Manage project timelines and budgets to ensure timely and cost-effective delivery of projects.
- Foster a culture of continuous improvement and innovation within the team.
- Provide mentorship and training to junior team members to enhance their skills and knowledge.
- Work closely with cross-functional teams to integrate marketing mix modeling insights into broader business strategies.
- Conduct regular reviews and assessments of project performance to identify areas for improvement.
- Develop and maintain strong relationships with key stakeholders to ensure alignment and support for projects.
- Ensure compliance with data privacy and security regulations in all data handling and analysis activities.
- Contribute to the development of new methodologies and tools to enhance the effectiveness of marketing mix modeling.
- Participate in the development of proposals and presentations for new business opportunities.
- Provide expert guidance and support to clients on the interpretation and application of marketing mix modeling results.
- Collaborate with the sales team to identify and pursue new business opportunities in the media analytics space.
- Develop and implement strategies to enhance the visibility and reputation of the marketing mix modeling practice.
- Conduct market research and analysis to identify trends and opportunities in the media analytics industry.
- Provide thought leadership and expertise in marketing mix modeling through publications, conferences, and industry events.
- Ensure the effective use of technology and tools to support marketing mix modeling projects.
- Collaborate with the product development team to integrate client feedback into the development of new analytics solutions.
- Develop and implement strategies to enhance the efficiency and effectiveness of marketing mix modeling projects.
- Provide regular updates and reports to senior management on the progress and outcomes of marketing mix modeling projects.
Nice to Have
- Experience in the consumer goods industry.
- Familiarity with NielsenIQ data and analytics platforms.
- Experience with SQL and other database management tools.
- Knowledge of Python or R for data analysis and modeling.
- Experience in working with large datasets and complex data structures.
- Familiarity with machine learning techniques and their application in marketing analytics.
- Experience in conducting A/B testing and experimental design in marketing research.
- Knowledge of digital marketing analytics and its integration with traditional marketing mix modeling.
- Experience in working with international clients and managing global projects.
- Familiarity with data visualization tools and techniques to enhance the presentation of analytics insights.
- Experience in conducting customer segmentation and market basket analysis.
- Knowledge of econometric modeling and its application in marketing analytics.
- Experience in working with CRM data and its integration into marketing mix modeling.
- Familiarity with social media analytics and its role in marketing mix modeling.
- Experience in conducting competitive analysis and benchmarking in the media analytics industry.
- Knowledge of marketing attribution modeling and its integration with marketing mix modeling.
- Experience in working with media planning and buying teams to optimize media strategies.
- Familiarity with advanced statistical techniques such as Bayesian modeling and time series analysis.
- Experience in conducting market research and analysis to identify trends and opportunities in the media analytics industry.
- Knowledge of marketing analytics software and tools, such as Tableau, Power BI, and SAS.
- Experience in working with data scientists and engineers to develop and implement analytics solutions.
- Familiarity with agile project management methodologies and their application in marketing analytics projects.
- Experience in conducting customer journey mapping and its integration into marketing mix modeling.
- Knowledge of marketing automation tools and their role in marketing analytics.
- Experience in working with data governance and management frameworks to ensure data quality and integrity.
Compensation
Competitive salary and benefits package
Work Arrangement
Full-time, on-site
Team
Collaborative team environment with a focus on innovation and continuous improvement
What You'll Do
- Lead and manage a team of consultants to deliver high-quality marketing mix modeling projects.
- Collaborate with clients to understand their business objectives and translate them into actionable analytics solutions.
- Develop and implement advanced statistical models to analyze marketing data and provide strategic recommendations.
- Ensure the accuracy and reliability of data analysis by maintaining high-quality standards and best practices.
- Present findings and insights to clients in a clear and compelling manner, driving data-driven decision-making.
- Stay updated with industry trends and best practices in marketing mix modeling and media analytics.
- Manage project timelines and budgets to ensure timely and cost-effective delivery of projects.
- Foster a culture of continuous improvement and innovation within the team.
- Provide mentorship and training to junior team members to enhance their skills and knowledge.
- Work closely with cross-functional teams to integrate marketing mix modeling insights into broader business strategies.
What You'll Need
- Proven experience in marketing mix modeling and media analytics, with a strong background in statistical analysis and data modeling.
- Advanced degree in a relevant field such as statistics, economics, or a related discipline.
- Proficient in using statistical software and tools for data analysis and modeling.
- Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
- Excellent communication and presentation skills, with the ability to convey complex information clearly and effectively.
- Experience in managing and leading teams, with a focus on mentorship and professional development.
- Proven track record of delivering high-quality projects on time and within budget.
- Strong project management skills, with the ability to manage multiple projects simultaneously.
- Experience in working with cross-functional teams to integrate analytics insights into broader business strategies.
- Knowledge of industry trends and best practices in marketing mix modeling and media analytics.
Nice to Have
- Experience in the consumer goods industry.
- Familiarity with NielsenIQ data and analytics platforms.
- Experience with SQL and other database management tools.
- Knowledge of Python or R for data analysis and modeling.
- Experience in working with large datasets and complex data structures.
- Familiarity with machine learning techniques and their application in marketing analytics.
- Experience in conducting A/B testing and experimental design in marketing research.
- Knowledge of digital marketing analytics and its integration with traditional marketing mix modeling.
- Experience in working with international clients and managing global projects.
- Familiarity with data visualization tools and techniques to enhance the presentation of analytics insights.
Our Benefits
- Competitive salary and benefits package
- Health, dental, and vision insurance
- 401(k) retirement savings plan
- Paid time off and holidays
- Professional development opportunities
- Tuition reimbursement
- Employee assistance programs
- Flexible work arrangements
- Employee discounts and perks
- Wellness programs and initiatives
- Community involvement and volunteer opportunities
- Diversity, equity, and inclusion initiatives
- Employee resource groups
- Mentorship and coaching programs
- Performance-based bonuses and incentives
- Career growth and advancement opportunities
- Work-life balance initiatives
- Employee recognition and reward programs
- Continuous learning and development opportunities
- Inclusive and supportive work environment
- Collaborative and innovative team culture
- State-of-the-art technology and tools
- Modern and comfortable workspaces
- Access to industry-leading analytics platforms and tools
- Opportunities for international travel and assignments
Our Culture
- Collaborative and innovative team environment
- Focus on continuous improvement and innovation
- Commitment to diversity, equity, and inclusion
- Supportive and inclusive work culture
- Opportunities for professional development and growth
- Emphasis on work-life balance and well-being
- Encouragement of creativity and innovation
- Strong focus on client satisfaction and success
- Collaborative and cross-functional teamwork
- Opportunities for international travel and assignments
How to Apply
- Submit your resume and cover letter through the company's career portal.
- Include relevant experience and qualifications in your application.
- Highlight your skills and achievements in marketing mix modeling and media analytics.
- Provide examples of your analytical and problem-solving abilities.
- Demonstrate your experience in managing and leading teams.
- Showcase your communication and presentation skills.
- Include any relevant certifications or training in statistical analysis and data modeling.
- Provide examples of your experience in working with cross-functional teams.
- Highlight your knowledge of industry trends and best practices in marketing mix modeling and media analytics.
- Include any relevant experience in the consumer goods industry.
Equal Opportunity Employer
- We are an equal opportunity employer and welcome applicants from all backgrounds.
- We do not discriminate based on race, color, religion, sex, national origin, age, disability, or any other protected characteristic.
- We are committed to creating a diverse and inclusive work environment.
- We encourage applicants from underrepresented groups to apply.
- We provide reasonable accommodations for individuals with disabilities during the application and hiring process.
- We comply with all applicable federal, state, and local laws regarding equal employment opportunity.
- We promote a culture of respect, inclusion, and diversity in the workplace.
- We value the unique perspectives and experiences that each employee brings to the team.
- We are committed to fostering a work environment where all employees feel valued and respected.
- We provide training and development opportunities to promote diversity, equity, and inclusion in the workplace.
About Us
- We are a leading provider of marketing mix modeling and media analytics solutions.
- We help clients optimize their marketing investments and drive business growth.
- We leverage advanced statistical models and data analysis techniques to provide actionable insights.
- We work with clients across various industries, including consumer goods, retail, and media.
- We are committed to delivering high-quality projects on time and within budget.
- We foster a culture of continuous improvement and innovation.
- We provide mentorship and training opportunities for our employees.
- We offer a competitive salary and benefits package.
- We promote a collaborative and inclusive work environment.
- We value diversity, equity, and inclusion in the workplace.
Why Work With Us
- Opportunities for professional development and growth
- Competitive salary and benefits package
- Collaborative and inclusive work environment
- Focus on continuous improvement and innovation
- Support for work-life balance and well-being
- Access to industry-leading analytics platforms and tools
- Opportunities for international travel and assignments
- Commitment to diversity, equity, and inclusion
- Strong focus on client satisfaction and success
- Encouragement of creativity and innovation
- Modern and comfortable workspaces
- State-of-the-art technology and tools
- Employee recognition and reward programs
- Wellness programs and initiatives
- Employee assistance programs
- Tuition reimbursement
- Mentorship and coaching programs
- Performance-based bonuses and incentives
- Career growth and advancement opportunities
- Employee resource groups
- Community involvement and volunteer opportunities
- Employee discounts and perks
- Continuous learning and development opportunities
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